Techenoid - Global online training platform and your one-stop destination for all your online training needs on various latest software technologies in IT. We connect learners with the best trainers around the globe. We are motivated to give you the high-quality online training at an affordable price is our core value. We offer live online training, self-paced videos and corporate training on niche software technologies which are in high demand. This is actually the age when technological advances are reaching the skies and each day, individuals are getting habituated to a bit less labor. As machines take up the requirement for doing something by hand, chances for additional employment gets reduced.It’s a wellestablished fact right now that the machine can perform the job of multiple people within a reduced amount of time too.So, information mill choosing for machines rather than people and the likelihood of obtaining a job gets reduced every single day.As it’s been happening for quite a while now, the requirement for finding alternative careers keeps growing. All our trainers are experienced professionals in their respected domains and have rich experience to share with our students. We work with the individuals and companies in developing the right skills they need from a diverse range of courses with real-life examples to build and excel their career in the present competitive environment. Devops: DevOps (a clipped compound of "development" and "operations") is a software engineering culture and practice that aims at unifying software development (Dev) and software operation (Ops). The main characteristic of the DevOps movement is to strongly advocate automation and monitoring at all steps of software construction, from integration, testing, releasing to deployment and infrastructure management. DevOps aims at shorter development cycles, increased deployment frequency, and more dependable releases, in close alignment with business objectives. Big data: Big data is a term used to refer to the study and applications of data sets that are so big and complex that traditional data-processing application software are inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. There are a number of concepts associated with big data: originally there were 3 concepts volume, variety, velocity. Other concepts later attributed with big data are veracity (i.e., how much noise is in the data) and value.
Lately, the term "big data" tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now
available are indeed large, but that’s not the most relevant characteristic of this new data ecosystem."[5] Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on."[6] Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet search, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics,connectomics, complex physics simulations, biology and environmental research. What is Hadoop?
It is an open-source java-based software framework used for processing and storing big data in a distributed computing environment on large clusters of commodity hardware nodes. With its Distributed File System, it is possible to handle thousands of terabyte data and also provides a faster data transfer among the nodes and allows the system to seamlessly continue its operations in case of node failure. Hadoop is also called as Apache Hadoop, as is a part of Apache project, which is sponsored by Apache Software Foundation.